Further Details of an Analysis for Unreplicated Fractional Factorials.
Technical summary rept.,
WISCONSIN UNIV-MADISON MATHEMATICS RESEARCH CENTER
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Recent work by Box and Meyer has outlined a new approach to analyzing unreplicated fractional factorials, utilizing the factor sparsity principle. It has been shown to be a formal analog to normal probability plotting. Further details of the analysis are explored here, in particular, sensitivity to choice of prior parameters, standard errors of effects, and extention of ideas to blocked and replicated designs. Keywords Bayesian analysis Experimental design Factorial design.
- Statistics and Probability